DocumentCode :
2675152
Title :
Comparison of the linear approximations for the dynamic security region of network-reduction power systems
Author :
Xue, Ancheng ; Hu, Wei ; MEI, Shengwei ; Ni, Yixin ; Wu, Felix F. ; Lu, Qiang
Author_Institution :
Dept. of Electr. Eng., Tsinghua Univ., Beijing
fYear :
0
fDate :
0-0 0
Abstract :
The dynamic security region (DSR) of bulk power system has been accepted more and more in recent years for providing plenty of security information and good prospect in online application. This paper compares three linear approximations for the dynamic security region of network-reduction power systems. The three linear approximations are the Q-linear approximation based on the quadratic approximation of stability region, the L-linear approximation based on the linear approximation of stability region and the L0-linear approximation based on the invariant assumption of the normal vector for the boundary of the stability region corresponding to different control variable. The three linear approximations are all obtained with a same critical point lying just on the boundary of dynamic security region. The critical point is searched with numerical simulation. The accuracy of the three linear approximations is compared, using the linear approximation obtained with the curve fitting approach or the actual boundary of DSR searched as the benchmark. Simulation results in IEEE 3-machine 9-bus system and 10-machine 39-bus New England system show that all the three linear approximations display fairly accurate estimation. Furthermore, from the computational viewpoint, the L-linear and the L0-linear method are two alternative choices to approximate the dynamic security region
Keywords :
approximation theory; curve fitting; power system security; power system stability; 10-machine 39-bus New England system; IEEE 3-machine 9-bus system; L-linear approximation; Q-linear approximation; bulk power system; curve fitting approach; dynamic security region; network-reduction power systems; numerical simulation; online application; quadratic approximation; security information; Computational modeling; Curve fitting; Displays; Information security; Linear approximation; Numerical simulation; Power system dynamics; Power system security; Power system stability; Vectors; Direct Method; Dynamic Security Region; Linear Approximation; Stability Region; Transient Stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering Society General Meeting, 2006. IEEE
Conference_Location :
Montreal, Que.
Print_ISBN :
1-4244-0493-2
Type :
conf
DOI :
10.1109/PES.2006.1709068
Filename :
1709068
Link To Document :
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